volcengine/OpenViking：README 來源編輯指南

volcengine/OpenViking 的 README 將專案描述為「Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.」。本文只整理倉庫可直接核對的內容，不把 star、Fork 或宣傳語當成品質證明。README 在「What is OpenViking」下寫到：OpenViking is an open-source context database for AI agents. It stores memories, resources, and skills as one virtual filesystem under the viking:// protocol, so an agent browses its own context with ls, tree, and find instead of querying。這說明的是專案邊界，不是已完成的生產驗證。

從 README 的「Why OpenViking」與相關條目，可以先判斷它是否處理你的實際問題：Tiered loading cuts token spend. Every entry is processed into L0 (abstract), L1 (overview), and L2 (details) on write, then loaded only as deep as the task requires. → Context layers。若需求不同，不應只因專案熱度就採用。本文保留原始專案名、命令與元件名，方便回到一手來源核對。 README 另外列出一項可核對的資訊：One filesystem for all context. Memories, resources, and skills each get a viking:// URI. Agents locate and manipulate context deterministically, like a developer working with files. → Viking URI。這類原文條目可用來設計試跑步驟，但不能取代實際環境測試。

README 將運作方式分散在「Why OpenViking」等段落。可確認的線索包括：Each directory carries its own L0/L1 layers, so relevance can be judged before any full file is read:。本文不把未寫出的架構、效能或安全邊界補成結論；真正的執行鏈仍要配合目錄、設定檔與版本標籤檢查。

第一次安裝應從 README 指出的入口開始。目前可核對的命令是： pip install openviking --upgrade openviking-server init # interactive wizard: providers, models, ov.conf openviking-server doctor # validate setup openviking-server # start (background: nohup openviking-server > openviking.log 2>&1 &) 如果倉庫沒有命令，本文不會自行編造步驟，而是建議先閱讀「What is OpenViking」，確認系統依賴、預設埠與首次初始化。

日常使用取決於專案文件。README 的「Proof it works」段落提到：OpenViking 0.3.22 has been evaluated on long-conversation user memory (LoCoMo) and multi-turn agent tasks (tau2-bench). Full results and setup details, including knowledge-base QA, are in the benchmark report.。設定檔、環境變數、權限與資料目錄只在來源明確時才會記錄；沒有寫出的預設值，應在測試環境驗證並保留回滾副本。 同一部分也提到：Directory recursive retrieval. Vector search first locates the highest-scoring directory, then drills down layer by layer, so results arrive with their surrounding context intact. → Retrieval。